1. An Extreme Value Theory approach to estimate crash risk during mandatory lane-changing in a connected environment;Ali;Anal. Methods Accid. Res.,2022
2. Assessing a connected environment’s safety impact during mandatory lane-changing: A block maxima approach;Ali;IEEE Trans. Intell. Transp. Syst.,2022
3. A Bayesian generalised extreme value model to estimate real-time pedestrian crash risks at signalised intersections using artificial intelligence-based video analytics;Ali;Anal. Methods Accid. Res.,2023
4. Assessing traffic conflict/crash relationships with extreme value theory: Recent developments and future directions for connected and autonomous vehicle and highway safety research;Ali;Anal. Methods Accid. Res.,2023
5. Evaluating the safety of autonomous vehicle–pedestrian interactions: An extreme value theory approach;Alozi;Anal. Methods Accid. Res.,2022